Year: 2024
Type: article
Abstract: Reasonably evaluating the value of NFT digital content works is of great significance for regulating NFT service platform transactions, expanding cultural dissemination channels, and promoting the development of the digital cultural industry. First, the study proposes the value influencing factors of NFT digital content works based on the value chain theory, and constructs the value assessment index system accordingly. Then, the historical transaction data of NFT are collected and empirical analysis is carried out by applying multiple linear regression, K-neighborhood algorithm and BP neural network model respectively. The research results found that cost, copyright, and market are the main factors affecting the value of NFT digital content works. Compared with linear models, nonlinear models are more applicable for evaluating the value of NFT digital content works. Exploring non-linear models that balance accuracy and interpretability is one of the important directions for evaluating the value of NFT digital content works.
Authors: Yudong Gao, Xuemei Xie
Institution: Beijing University of Posts and Telecommunications
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405385210